Robert A. Vandermeulen's Avatar

Robert A. Vandermeulen

@robvdm

AI and machine learning researcher based in Berlin, Germany. -Nonparametric tensor methods. -Deep anomaly detection ravdm.github.io scholar.google.com/citations?user=eSjfzOUAAAAJ orcid.org/0000-0001-6863-7006

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14.12.2023
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Latest posts by Robert A. Vandermeulen @robvdm

I genuinely don’t understand why you think it’s bad for Dems to adapt their strategy to boost their chances of winning.

01.05.2025 17:56 👍 7 🔁 0 💬 1 📌 0
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Dimension-independent rates for structured neural density estimation We show that deep neural networks achieve dimension-independent rates of convergence for learning structured densities such as those arising in image, audio, video, and text applications. More precise...

I'm happy to share our work "Dimension-independent rates for structured neural density estimation" was accepted to ICML! This furthers our new approach on sample-efficient high-dimensional nonparametric statistics!

Preprint: arxiv.org/abs/2411.15095 (old version)

w/ Wai Ming Tai and Bryon Aragam

01.05.2025 12:51 👍 3 🔁 0 💬 0 📌 0

Woop! Congrats Herr Doktor!

07.04.2025 16:28 👍 1 🔁 0 💬 1 📌 0

Major late 2000s early 2010s zombie stuff:
28 weeks later
Shaun of the dead
Zombieland
The walking dead
The last of us
Left for dead
The zombie survival guide
World war Z
Pride and Prejudice and Zombies

15.01.2025 13:26 👍 2 🔁 0 💬 0 📌 0

why were zombies so big in the 2000s?

15.01.2025 10:58 👍 3 🔁 0 💬 2 📌 0
NeurIPS Poster Breaking the curse of dimensionality in structured density estimationNeurIPS 2024

This represents a new and theoretically grounded way of explaining how AI can perform so well on high-dimensional data. Come see our poster at NeurIPS:

neurips.cc/virtual/2024...

09.12.2024 10:49 👍 1 🔁 0 💬 0 📌 0

Excited to share 2 new papers showing how a Markov random field assumption improves density estimation—especially for dependencies in image, audio, and text data. This assumption is orthogonal to the manifold hypothesis! 📊📚

NeurIPS openreview.net/pdf?id=dWwin2uGYE
Preprint arxiv.org/abs/2411.15095

09.12.2024 10:46 👍 3 🔁 0 💬 1 📌 0